update

README.md

@@ -42,12 +42,12 @@ Tips:
 | autshumato |  | TRAIN: 652824 | Autshumato 项目的目标之一是开发三种南非语言对的机器翻译系统。 | [autshumato](https://huggingface.co/datasets/autshumato) |
 | chr_en | [2010.04791](https://arxiv.org/abs/2010.04791) | 样本个数 | ChrEn 是切罗基语-英语并行数据集，用于促进切罗基语和英语之间的机器翻译研究。 ChrEn 资源极少，总共包含 14k 个句子对，其分割方式有利于域内和域外评估。 ChrEn 还包含 5k 切罗基语单语数据以实现半监督学习。 | [chr_en](https://huggingface.co/datasets/chr_en) |
 | cmu_hinglish_dog | [CMU_DoG](https://github.com/festvox/datasets-CMU_DoG); [1809.07358](https://arxiv.org/abs/1809.07358) | TRAIN: 13146, VALID: 1645, TEST: 1616 | 这是印度英语（印地语-英语之间的代码混合）文本对话及其相应的英语版本的集合。 可用于两者之间的翻译。 该数据集由 CMU 的 Alan Black 教授团队提供。 | [cmu_hinglish_dog](https://huggingface.co/datasets/cmu_hinglish_dog) |
-| europa_eac_tm | [EAC-Translation Memory](https://joint-research-centre.ec.europa.eu/language-technology-resources/eac-translation-memory_en) | TRAIN: 16543 | 该数据集是从英语到多达 25 种语言的手动翻译的语料库，由欧盟教育和文化总局 (EAC) 于 2012 年发布。 | [europa_eac_tm](https://huggingface.co/datasets/europa_eac_tm) |
+| europa_eac_tm | [EAC-Translation Memory](https://joint-research-centre.ec.europa.eu/language-technology-resources/eac-translation-memory_en) | TRAIN: 38054 | 该数据集是从英语到多达 25 种语言的手动翻译的语料库，由欧盟教育和文化总局 (EAC) 于 2012 年发布。 | [europa_eac_tm](https://huggingface.co/datasets/europa_eac_tm) |
 | europa_ecdc_tm | [ECDC-Translation Memory](https://joint-research-centre.ec.europa.eu/language-technology-resources/ecdc-translation-memory_en) | TRAIN: 58968 | 2012 年 10 月，欧盟 (EU) 机构“欧洲疾病预防和控制中心”(ECDC) 发布了翻译记忆库 (TM)，即 25 种语言的句子及其专业翻译的集合。 | [europa_ecdc_tm](https://huggingface.co/datasets/europa_ecdc_tm) |
-| flores | [1902.01382](https://arxiv.org/abs/1902.01382) | 样本个数 | 低资源机器翻译的评估数据集：尼泊尔语-英语和僧伽罗语-英语。 | [flores](https://huggingface.co/datasets/flores) |
-| giga_fren |  | 样本个数 |  | [giga_fren](https://huggingface.co/datasets/giga_fren) |
-| hind_encorp | [HindEnCorp](https://aclanthology.org/L14-1643/) | 样本个数 | HindEnCorp 并行文本（句子对齐）来自以下来源：Tides，其中包含主要取自新闻文章的 50K 句对。 该数据集最初是为 2002 年 DARPA-TIDES 惊喜语言竞赛收集的，后来在 IIIT 海得拉巴进行了完善，并提供给 ICON 2008 的 NLP 工具竞赛（Venkatapathy，2008）。 | [hind_encorp](https://huggingface.co/datasets/hind_encorp) |
-| hrenwac_para |  | 样本个数 | hrenWaC 语料库版本 2.0 由从克罗地亚 .hr 顶级域爬取的并行克罗地亚语-英语文本组成。 | [hrenwac_para](https://huggingface.co/datasets/hrenwac_para) |
+| flores | [1902.01382](https://arxiv.org/abs/1902.01382) |  | 低资源机器翻译的评估数据集：尼泊尔语-英语和僧伽罗语-英语。 | [flores](https://huggingface.co/datasets/flores) |
+| giga_fren |  |  |  | [giga_fren](https://huggingface.co/datasets/giga_fren) |
+| hind_encorp | [HindEnCorp](https://aclanthology.org/L14-1643/) | TRAIN: 445071 | HindEnCorp 并行文本（句子对齐）来自以下来源：Tides，其中包含主要取自新闻文章的 50K 句对。 该数据集最初是为 2002 年 DARPA-TIDES 惊喜语言竞赛收集的，后来在 IIIT 海得拉巴进行了完善，并提供给 ICON 2008 的 NLP 工具竞赛（Venkatapathy，2008）。 | [hind_encorp](https://huggingface.co/datasets/hind_encorp) |
+| hrenwac_para |  | TRAIN: 191946 | hrenWaC 语料库版本 2.0 由从克罗地亚 .hr 顶级域爬取的并行克罗地亚语-英语文本组成。 | [hrenwac_para](https://huggingface.co/datasets/hrenwac_para) |
 | id_panl_bppt |  | 样本个数 | BPPT（印度尼西亚技术评估和应用机构）为 PAN 本地化项目（发展亚洲本地语言计算能力的区域性倡议）创建的多域翻译系统并行文本语料库。 该数据集包含大约 24K 个句子，分为 4 个不同主题（经济、国际、科学技术和体育）。 | [id_panl_bppt](https://huggingface.co/datasets/id_panl_bppt) |
 | igbo | [Igbo-English Machine Translation](https://arxiv.org/abs/2004.00648v1) | 样本个数 | 在这项工作中，我们讨论了为伊博语（尼日利亚三种主要语言之一）构建标准机器翻译基准数据集所做的努力。 | [igbo_english_machine_translation](https://huggingface.co/datasets/igbo_english_machine_translation) |
 | menyo20k_mt | [menyo20k_mt](https://arxiv.org/abs/2103.08647v3) | 样本个数 | MENYO-20k 是一个多域并行数据集，其中的文本来自新闻文章、ted 演讲、电影文字记录、广播文字记录、科��文本以及其他由网络和专业翻译人员策划的短文。 | [menyo20k_mt](https://huggingface.co/datasets/menyo20k_mt) |

data/europa_eac_tm.jsonl

@@ -1,3 +1,3 @@
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-oid sha256:9ad6d6169125a8e19b1bda9594d625941e69af9097cd408f385c7ee595fdfe63
-size 2520239
+oid sha256:dcdc26ac2cbad4a661c448cde2dcd0641861b548f9200cfd148f7348ef2fa2d9
+size 4896643

data/hind_encorp.jsonl

@@ -0,0 +1,3 @@
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+oid sha256:e000880c6418e01f0ba145ca570be5e32fdd25730d154b09f1283173c882584c
+size 92643407

data/hrenwac_para.jsonl

@@ -0,0 +1,3 @@
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+oid sha256:673bec80093a2aee4e59e3d3919e5168739d75e2e31e85341baee4c2c77a5848
+size 43817114

dataset_details.md

@@ -297,52 +297,132 @@ en: 5966
 
 ```text
 语种数量：
-en: 4776
-bg: 3955
-fr: 3949
-es: 3863
+bg: 2535
+da: 2339
+cs: 2273
+pl: 2267
+lt: 2235
+sl: 2231
+lv: 2213
+en: 2102
+de: 1968
+fr: 1962
+sk: 1958
+es: 1898
+pt: 1730
+sv: 1643
+hu: 1390
+el: 1367
+et: 1029
+it: 1021
+mt: 971
+nl: 931
+is: 626
+ro: 543
+fi: 501
+no: 321
 ```
 
 样本示例：
 
 | 数据 | 语种 | 样本 |
 | :---: | :---: | :---: |
-| europa_eac_tm | bg | КАНДИДАТ |
-| europa_eac_tm | bg | Формулярът за кандидатстване ще бъде обработен с помощта на компютър. Всички лични данни (имена, адреси, CV-та и др.) ще бъдат използвани в съответствие с Решение (EC) № 45/2001 на Европейския парламент и на Съвета от 18 Декември 2000г. относно защитата на лицата във връзка с използването на личните им данни от страна на институциите и организациите на Общността и свободното движение на тези данни. Предоставената от кандидатите информация, необходима за оценка на техните предложения за финансиране, ще се ползва от службите по съответните програми единствено и само по предназначение. По искане на кандидата, предоставената лична информация може да му бъде изпратена за допълване или корекции. Всички въпроси, отнасящи се до тези данни, следва да бъдат отправяни към съответната Агенция, до която се изпраща формулярът за кандидатстване. Бенефициентите могат да подават жалби по всяко време до Европейската служба за защита на личните данни във връзка с използването на личните им данни. |
-| europa_eac_tm | bg | ДАТА НА РАЖДАНЕ |
-| europa_eac_tm | en | APPLICANT |
-| europa_eac_tm | en | The grant application will be processed by computer. All personal data (such as names, addresses, CVs, etc.) will be processed in accordance with Regulation (EC) No 45/2001 of the European Parliament and of the Council of 18 December 2000 on the protection of individuals with regard to the processing of personal data by the Community institutions and bodies and on the free movement of such data. Information provided by the applicants necessary in order to assess their grant application will be processed solely for that purpose by the department responsible for the programme concerned. On the applicant's request, personal data may be sent to the applicant to be corrected or completed. Any question relating to these data, should be addressed to the appropriate Agency to which the form must be submitted. Beneficiaries may lodge a complaint against the processing of their personal data with the European Data Protection Supervisor at anytime. |
-| europa_eac_tm | en | DATE OF BIRTH |
-| europa_eac_tm | es | Número de profesores/formadores |
-| europa_eac_tm | es | SOLICITANTE |
-| europa_eac_tm | es | La solicitud de subvención será procesada electrónicamente. Todos los datos personales (como los nombres, direcciones, CV, etc.) serán procesados de acuerdo con la Ley (EC) número 45/2001 del Parlamento Europeo y del Consejo de 18 de diciembre de 2000 sobre la protección de los individuos respecto a los datos personales procesados por parte de las instituciones y organismos de la Comunidad europea y sobre la rectificación de dichos datos. La información proporcionada por los solicitantes se procesará únicamente con el propósito de evaluar la solicitud de subvención por el departamento correspondiente del programa. A petición del solicitante, sus datos personales pueden ser modificados. Cualquier duda relacionada con dichos datos debe dirigirse a la Agencia apropiada. Los beneficiarios pueden interponer una demanda contra el procesamiento de sus datos personales ante el Supervisor de Protección de datos europeo. |
-| europa_eac_tm | fr | Nb enseignants/formateurs |
-| europa_eac_tm | fr | CANDIDAT |
-| europa_eac_tm | fr | Le formulaire de candidature sera traité par ordinateur. Toutes les données à caractère personnel (telles que les noms, adresses, CV, etc.) seront traitées conformément au règlement (CE) N°45/2001 du Parlement européen et du Conseil du 18 décembre 2000 relatif à la protection des personnes physiques à l’égard du traitement des données à caractère personnel par les institutions et organes communautaires et à la libre circulation de ces données. Les renseignements fournis par les candidats qui sont nécessaires pour pouvoir évaluer les demandes de subvention seront traités uniquement à cette fin par le département chargé du programme concerné. Les données à caractère personnel peuvent être envoyées au candidat, à la demande de ce dernier, pour lui permettre de les corriger ou de les compléter. Toute question relative à ces données devrait être adressée à l’Agence nationale pertinente à laquelle le présent formulaire doit être soumis. Les bénéficiaires peuvent à tout moment introduire une plainte contre le traitement de leurs données à caractère personnel auprès du Contrôleur européen de la protection des données. |
+| europa_eac_tm | bg | Събития с широка публичност |
+| europa_eac_tm | bg | Кашмирски |
+| europa_eac_tm | bg | Специалисти, свързани с преподаването на предучилищното образование |
+| europa_eac_tm | da | Evenements A Haute Vuisibilite |
+| europa_eac_tm | da | Kashmiri |
+| europa_eac_tm | da | Medarbejdere i førskoleundervisning |
+| europa_eac_tm | sl | Močno prepoznavni dogodki |
+| europa_eac_tm | sl | kašmirščina |
+| europa_eac_tm | sl | Pomočniki vzgojiteljev predšolskih otrok |
+| europa_eac_tm | cs | kašmírština |
+| europa_eac_tm | cs | Techničtí pracovníci – učitelé předškolní výchovy |
+| europa_eac_tm | cs | Studium všeobecného typu bez zaměření na určitý předmět |
+| europa_eac_tm | el | Κασμίρ |
+| europa_eac_tm | el | Διαρθρωτικά Δίκτυα ERASMUS |
+| europa_eac_tm | el | Το σχέδιο αντανακλά μια κοινή ανησυχία για την Ευρωπαϊκή κοινωνία, όπως ο ρατσισμός, η ξενοφοβία και ο αντισημιτισμός, η χρήση εξαρτησιογόνων ουσιών... |
+| europa_eac_tm | es | Cachemir |
+| europa_eac_tm | es | Profesionales relacionados con la enseñanza pre-primaria |
+| europa_eac_tm | es | Programas generales sin énfasis en ninguna materia especial |
+| europa_eac_tm | fi | Kasmiri |
+| europa_eac_tm | fi | Hanke heijastelee eurooppalaisille yhteisiä huolenaiheita kuten rasismia, muukalaisvihaa, antisemitismiä tai huumausaineiden käyttöä. |
+| europa_eac_tm | fi | Heard ja McDonaldinsaaret |
+| europa_eac_tm | hu | HIDE |
+| europa_eac_tm | hu | ERASMUS Strukturális Hálózatok |
+| europa_eac_tm | hu | A projekt tükrözi az európai társadalom valamely közös problémáját, például a fajgyűlöletet, az idegengyűlöletet, az antiszemitizmust, a kábítószerekkel való visszaélést |
+| europa_eac_tm | lt | Kašmyrų |
+| europa_eac_tm | lt | Ikimokyklinio ugdymo jaunesnieji specialistai |
+| europa_eac_tm | lt | Bendrosios programos neišskiriant atskirų dalykų |
+| europa_eac_tm | lv | Kašmiriešu |
+| europa_eac_tm | lv | Pirmsskolas izglītības apmācību asociētie speciālisti |
+| europa_eac_tm | lv | Vispārizglītojošās programmas, neuzsverot nekādus īpašus mācību priekšmetus |
+| europa_eac_tm | mt | Kaxmiri |
+| europa_eac_tm | mt | Il-proġett jirrifletti tħassib komuni għas-soċjetà Ewropea, bħar-razziżmu, ksenofobija u anti-semitiżmu, abbuż tad-droga... |
+| europa_eac_tm | mt | Il-Gżejjer Heard u l-Gżejjer Mcdonald |
+| europa_eac_tm | nl | Kasjmiri |
+| europa_eac_tm | nl | Het project weerspiegelt een gemeenschappelijk belang in de Europese samenleving, zoals racisme, xenofobie en anti-semitisme, drugmisbruik... |
+| europa_eac_tm | nl | Heard- en McDonaldeilanden |
+| europa_eac_tm | pl | kaszmirski |
+| europa_eac_tm | pl | Asystenci nauczycieli wychowania przedszkolnego |
+| europa_eac_tm | pl | Programy ogólne bez nacisku na określony przedmiot |
+| europa_eac_tm | de | Lehrberufe der Vorschulstufe |
+| europa_eac_tm | de | Allgemeine Programme ohne Schwerpunkt auf speziellen Fächern |
+| europa_eac_tm | de | ERASMUS strukturelle Netzwerke |
+| europa_eac_tm | en | Pre-primary education teaching associate professionals |
+| europa_eac_tm | en | General programmes with no special subject emphasis |
+| europa_eac_tm | en | ERASMUS Structural Networks |
+| europa_eac_tm | fr | Professionnels associés à l'enseignement pré-primaire (maternelle en France) |
+| europa_eac_tm | fr | Programmes généraux sans thématique particulière |
+| europa_eac_tm | fr | ERASMUS Réseaux structurels |
+| europa_eac_tm | pt | Profissionais similares do ensino pré primário |
+| europa_eac_tm | pt | Programas gerais sem ênfase em assuntos especiais |
+| europa_eac_tm | pt | Redes Estruturais ERASMUS |
+| europa_eac_tm | sk | Pomocní učitelia v predškolskej výchove |
+| europa_eac_tm | sk | Všeobecnovzdelávacie programy bez osobitného dôrazu na predmet |
+| europa_eac_tm | sk | ERASMUS Štrukturálne siete |
+| europa_eac_tm | sv | Yrkesverksamma knutna till sektorn förskoleutbildning |
+| europa_eac_tm | sv | Allmänna program utan särskild inriktning |
+| europa_eac_tm | sv | ERASMUS strukturella nätverk |
+| europa_eac_tm | et | Üldõppekavad ilma süvaõppeta |
+| europa_eac_tm | et | Projekt peegeldab selliseid Euroopa ühiskonna murekohti nagu rassism, ksenofoobia, antisemitism, narkootikumide tarbimine jne |
+| europa_eac_tm | et | Heard ja McDonald saared |
+| europa_eac_tm | ro | Programe generale fară accent pe o anumită disciplină |
+| europa_eac_tm | ro | ERASMUS Structural Network |
+| europa_eac_tm | ro | Proiectul reflectă un subiect de preocupare comun pentru societatea europeană, precum rasismul, xenofobia şi antisemitismul, consumul de droguri, etc |
+| europa_eac_tm | is | Verkefnið endurspeglar sameiginlegar áhyggjur fyrir íbúa Evrópu af málefnum svo sem mismunun eftir kynþætti, trú, ólíkri menningu, lyfjamisnotkun... |
+| europa_eac_tm | is | Farandsamfélög (t.d. Sígaunar) |
+| europa_eac_tm | is | Framleiðsla á hráefnum til lyfjaframleiðslu og lyfjaundirbúnings |
+| europa_eac_tm | it | Il progetto riflette una preoccupazione comune per i problemi della società europea, come il razzismo, la xenofobia e l'antisemitismo, l'abuso di droghe, ecc. |
+| europa_eac_tm | it | Isole Heard e Mcdonald |
+| europa_eac_tm | it | Comunità Rom |
+| europa_eac_tm | no | Prosjektet gjenspeiler et felles engasjement i europeiske samfunnsspørsmål, f.eks. rasisme, fremmedfrykt, antisemittisme eller narkotikamisbruk |
+| europa_eac_tm | no | Heard Island og Mcdonald Islands |
+| europa_eac_tm | no | Roma-samfunn |
 
 <details>
 <summary>文本长度</summary>
-<pre><code>0-10: 2117
-10-20: 3050
-20-30: 2661
-30-40: 1851
-40-50: 1284
-50-60: 894
-60-70: 697
-70-80: 572
-80-90: 447
-90-100: 381
-100-110: 300
-110-120: 250
-120-130: 215
-130-140: 193
-140-150: 177
-150-160: 149
-160-170: 132
-170-180: 116
-180-190: 100
-190-200: 93
-200-210: 864
+<pre><code>0-10: 6273
+10-20: 8092
+20-30: 6645
+30-40: 4941
+40-50: 3155
+50-60: 2100
+60-70: 1453
+70-80: 1131
+80-90: 821
+90-100: 612
+100-110: 468
+110-120: 359
+120-130: 245
+130-140: 217
+140-150: 201
+150-160: 173
+160-170: 146
+170-180: 131
+180-190: 92
+190-200: 90
+200-210: 709
 </code></pre>
 </details>
 
@@ -385,7 +465,6 @@ ga: 1331
 
 样本示例：
 
-
 | 数据 | 语种 | 样本 |
 | :---: | :---: | :---: |
 | europa_ecdc_tm | bg | Засега няма ваксина срещу хепатит С. |
@@ -495,6 +574,108 @@ ga: 1331
 ![europa_ecdc_tm_text_length.jpg](docs/picture/europa_ecdc_tm_text_length.jpg)
 
 
+#### hind_encorp
+以下都是 train 训练集的信息
+
+```text
+语种数量：
+en: 229883
+hi: 215188
+```
+
+样本示例：
+
+| 数据 | 语种 | 样本 |
+| :---: | :---: | :---: |
+| hind_encorp | en | Sharaabi |
+| hind_encorp | en | politicians do not have permission to do what needs to be done. |
+| hind_encorp | en | I'd like to tell you about one such child, |
+| hind_encorp | hi | शराबी |
+| hind_encorp | hi | राजनीतिज्ञों के पास जो कार्य करना चाहिए, वह करने कि अनुमति नहीं है . |
+| hind_encorp | hi | मई आपको ऐसे ही एक बच्चे के बारे में बताना चाहूंगी, |
+
+<details>
+<summary>文本长度</summary>
+<pre><code>0-10: 30653
+10-20: 73226
+20-30: 53635
+30-40: 44904
+40-50: 37282
+50-60: 29459
+60-70: 22956
+70-80: 18088
+80-90: 15361
+90-100: 13614
+100-110: 12327
+110-120: 11161
+120-130: 10286
+130-140: 8782
+140-150: 7767
+150-160: 6571
+160-170: 5752
+170-180: 4803
+180-190: 4165
+190-200: 3510
+200-210: 30769
+</code></pre>
+</details>
+
+文本长度统计图像：
+
+![hind_encorp_text_length.jpg](docs/picture/hind_encorp_text_length.jpg)
+
+
+#### hrenwac_para
+以下都是 train 训练集的信息
+
+```text
+语种数量：
+en: 96102
+hr: 95844
+```
+
+样本示例：
+
+| 数据 | 语种 | 样本 |
+| :---: | :---: | :---: |
+| hrenwac_para | en | There is probably no person in the world that the news about the medical operation on close someone does not feel sadness and helplessness. |
+| hrenwac_para | en | After news of the black on weekends in the traffic is often not see the sequel in which we participate - and maybe save someone's life. |
+| hrenwac_para | en | There is something that can't be bought, because they can't produce, but only to give. |
+| hrenwac_para | hr | Vjerojatno ne postoji osoba na svijetu koja na vijest o medicinskom zahvatu nekoga bliskoga ne osjeća tugu i bespomoćnost. |
+| hrenwac_para | hr | Iza vijesti o crnim vikendima u prometu često ne vidimo onaj nastavak u kojemu možemo sudjelovati – i možda spasiti nečiji život. |
+| hrenwac_para | hr | Postoji nešto što se ne može kupiti, jer se ne može proizvesti, nego samo darovati. |
+
+<details>
+<summary>文本长度</summary>
+<pre><code>0-10: 253
+10-20: 1160
+20-30: 2194
+30-40: 4350
+40-50: 5911
+50-60: 7780
+60-70: 9253
+70-80: 10465
+80-90: 11194
+90-100: 11641
+100-110: 11608
+110-120: 11566
+120-130: 10983
+130-140: 10269
+140-150: 9653
+150-160: 8716
+160-170: 7885
+170-180: 6830
+180-190: 6241
+190-200: 5500
+200-210: 38494
+</code></pre>
+</details>
+
+文本长度统计图像：
+
+![hrenwac_para_text_length.jpg](docs/picture/hrenwac_para_text_length.jpg)
+
+
 #### iwslt2017
 以下都是 train 训练集的信息
 

examples/make_subset_details.py

@@ -12,7 +12,7 @@ from project_settings import project_path
 
 def get_args():
     parser = argparse.ArgumentParser()
-    parser.add_argument("--dataset_name", default="europa_ecdc_tm", type=str)
+    parser.add_argument("--dataset_name", default="hrenwac_para", type=str)
     parser.add_argument(
         "--dataset_cache_dir",
         default=(project_path / "hub_datasets").as_posix(),

examples/preprocess/preprocess_hind_encorp.py

@@ -0,0 +1,85 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+from collections import defaultdict
+import json
+import os
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, "../../"))
+
+from datasets import load_dataset, DownloadMode
+from tqdm import tqdm
+
+from language_identification import LANGUAGE_MAP
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset_path", default="hind_encorp", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/hind_encorp.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset_dict = load_dataset(
+        path=args.dataset_path,
+        cache_dir=args.dataset_cache_dir,
+        # download_mode=DownloadMode.FORCE_REDOWNLOAD
+    )
+    print(dataset_dict)
+
+    text_set = set()
+    counter = defaultdict(int)
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for k, v in dataset_dict.items():
+            split = k
+            if split not in ("train", "validation", "test"):
+                print("skip split: {}".format(split))
+                continue
+
+            for sample in tqdm(v):
+
+                translation = sample["translation"]
+                for language, text in translation.items():
+                    text = text.strip()
+
+                    if text in text_set:
+                        continue
+                    text_set.add(text)
+
+                    if language not in LANGUAGE_MAP.keys():
+                        raise AssertionError("language: {}, text: {}".format(language, text))
+
+                    row = {
+                        "text": text,
+                        "language": language,
+                        "data_source": "hind_encorp",
+                        "split": split
+                    }
+                    row = json.dumps(row, ensure_ascii=False)
+                    f.write("{}\n".format(row))
+                    counter[split] += 1
+
+    print("counter: {}".format(counter))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

examples/preprocess/preprocess_hrenwac_para.py

@@ -0,0 +1,85 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import argparse
+from collections import defaultdict
+import json
+import os
+import sys
+
+pwd = os.path.abspath(os.path.dirname(__file__))
+sys.path.append(os.path.join(pwd, "../../"))
+
+from datasets import load_dataset, DownloadMode
+from tqdm import tqdm
+
+from language_identification import LANGUAGE_MAP
+from project_settings import project_path
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--dataset_path", default="hrenwac_para", type=str)
+    parser.add_argument(
+        "--dataset_cache_dir",
+        default=(project_path / "hub_datasets").as_posix(),
+        type=str
+    )
+    parser.add_argument(
+        "--output_file",
+        default=(project_path / "data/hrenwac_para.jsonl"),
+        type=str
+    )
+
+    args = parser.parse_args()
+    return args
+
+
+def main():
+    args = get_args()
+
+    dataset_dict = load_dataset(
+        path=args.dataset_path,
+        cache_dir=args.dataset_cache_dir,
+        # download_mode=DownloadMode.FORCE_REDOWNLOAD
+    )
+    print(dataset_dict)
+
+    text_set = set()
+    counter = defaultdict(int)
+    with open(args.output_file, "w", encoding="utf-8") as f:
+        for k, v in dataset_dict.items():
+            split = k
+            if split not in ("train", "validation", "test"):
+                print("skip split: {}".format(split))
+                continue
+
+            for sample in tqdm(v):
+
+                translation = sample["translation"]
+                for language, text in translation.items():
+                    text = text.strip()
+
+                    if text in text_set:
+                        continue
+                    text_set.add(text)
+
+                    if language not in LANGUAGE_MAP.keys():
+                        raise AssertionError("language: {}, text: {}".format(language, text))
+
+                    row = {
+                        "text": text,
+                        "language": language,
+                        "data_source": "hrenwac_para",
+                        "split": split
+                    }
+                    row = json.dumps(row, ensure_ascii=False)
+                    f.write("{}\n".format(row))
+                    counter[split] += 1
+
+    print("counter: {}".format(counter))
+
+    return
+
+
+if __name__ == '__main__':
+    main()

language_identification.py

@@ -16,6 +16,8 @@ _URLS = {
     "cmu_hinglish_dog": "data/cmu_hinglish_dog.jsonl",
     "europa_eac_tm": "data/europa_eac_tm.jsonl",
     "europa_ecdc_tm": "data/europa_ecdc_tm.jsonl",
+    "hind_encorp": "data/hind_encorp.jsonl",
+    "hrenwac_para": "data/hrenwac_para.jsonl",
     "iwslt2017": "data/iwslt2017.jsonl",
     "mike0307": "data/mike0307.jsonl",
     "nbnn": "data/nbnn.jsonl",
@@ -58,6 +60,7 @@ LANGUAGE_MAP = {
     "gl": "galician",
     "hi": "hindi",
     "hi_en": "hindi english",
+    "hr": "croatian",
     "hu": "hungarian",
     "is": "icelandic",
     "it": "italian",
@@ -103,6 +106,8 @@ class LanguageIdentification(datasets.GeneratorBasedBuilder):
         datasets.BuilderConfig(name="cmu_hinglish_dog", version=VERSION, description="cmu_hinglish_dog"),
         datasets.BuilderConfig(name="europa_eac_tm", version=VERSION, description="europa_eac_tm"),
         datasets.BuilderConfig(name="europa_ecdc_tm", version=VERSION, description="europa_ecdc_tm"),
+        datasets.BuilderConfig(name="hind_encorp", version=VERSION, description="hind_encorp"),
+        datasets.BuilderConfig(name="hrenwac_para", version=VERSION, description="hrenwac_para"),
         datasets.BuilderConfig(name="iwslt2017", version=VERSION, description="iwslt2017"),
         datasets.BuilderConfig(name="mike0307", version=VERSION, description="mike0307"),
         datasets.BuilderConfig(name="nbnn", version=VERSION, description="nbnn"),